@ -105,7 +105,7 @@ Now let's have a look at what those CRDTs have in common and what is different b
| **compact** | ✅ | ✅ | ❓ |
| <tdcolspan=3> compacting is always available as a feature at the NextGraph level (and will compact Graph and Discrete parts alike). Yjs tends to garbage collect deleted content. not sure if automerge does it. Compact will remove all the historical data and deleted content (you won't be able to see diffs nor revert, for all the causal past happening before the compact operation. but normal CRDT behaviour can resume after) . This is a synchronous operation. |
| **snapshot** | ✅ | ✅ | ✅ |
| <tdcolspan=3> take a snapshot of the data at a given HEADs, and store it in a non-CRDT way so it can be opened quickly. Also removes all the historical and deleted data. But a snapshot cannot be used to continue collborating on the document. See it as something similar to "export as a static file". |
| <tdcolspan=3> take a snapshot of the data at a given HEADs, and store it in a non-CRDT way so it can be opened quickly. Also removes all the historical and deleted data. But a snapshot cannot be used to continue collaborating on the document. See it as something similar to "export as a static file". |
| **isolated transactions** | ✅ | ✅ | ✅ |
| <tdcolspan=3> A NextGraph transaction can atomically mutate both the Graph and the Discrete data in a single isolated transaction. Can be useful to enforce consistency and keep in sync between information stored in the discrete and graph parts of the same document. but: transactions cannot span multiple documents (for that matter, see **smart contracts**). When a SPARQL Update spans across Documents, then the Transaction is split into several ones (one for each target Document) and each one is applied separately, meaning, not atomically. Also, keep in mind, as explained above in the "Counter" section, that CRDTs are eventually consistent. If you need ACID guarantees, use a synchronous transaction instead. |
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